AI in medicine: the causality frontier

AI is advancing significantly in medicine, particularly through the use of causal machine learning (ML) to improve diagnostics and therapy outcomes. An international research team led by Prof. Dr. Stefan Feuerriegel from LMU has demonstrated that causal ML can enhance the effectiveness and safety of treatments by better estimating treatment outcomes compared to traditional ML methods. This advancement allows for more personalized treatment strategies, potentially improving medical practice. However, implementing these methods requires sophisticated modeling and collaboration between AI experts and medical professionals. The team's findings, published in Nature Medicine, indicate a promising future for causal ML in healthcare.

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How will AI change schools?

AI can make work easier for many people and performs research faster than humans can. And despite all the risks such as fakes and disinformation, the AI revolution has also been occurring in schools. But how could AI be used to reduce the workload of teachers, to assist and support them or how could AI enable individualized learning? Under what conditions is AI a suitable learning coach? Prof. Dr. Jochen Kuhn`s Chair of Physics Education Research addresses these and other questions and shows some approaches in this Bayerischer Rundfunk report.

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UPCOMING EVENTS

From Bach to Natural Machines, Algorithms as the shapers of music

Dan Tepfer, a pianist, composer, and coder, is giving a talk on June 6th about the significant role of algorithms in music, challenging the notion that music is solely a product of emotion. He will explain how algorithms are crucial in music creation, exemplified by his project "Natural Machines," where a Yamaha Disklavier player piano responds in real time to his improvisations. The talk will include live demonstrations, connecting Tepfer's high-tech project with Bach's timeless music, emphasizing the relationship between algorithms and music.

AI Keynote Series

The AI Keynote Series, hosted by LMU Munich's Institute of AI in Management, started on May 23rd 2024 and features leading researchers discussing advancements in AI. The next lectures are on July 17th, 2024, with Prof. Dr. Yixin Wang from the University of Michigan, and on August 8th, 2024, with Prof. Dr. Michael Oberst from John Hopkins University. Each session is conducted online via Zoom and includes a 45-60 minute presentation followed by a discussion.

ChatGPT and other Large Language Models in Teaching and Research

When ChatGPT was suddenly released to the general public in November of 2022, it sparked a lively discussion about its impact on education and research. This ongoing conversation continues to evolve as generative AI technologies become increasingly common in society. On June 24th the ethical and social questions around using ChatGPT and similar AI models in these fields are discussed in an event moderated by Prof. Dr. Sven Nyholm with AI ethics expert Dr. Silvia Milano giving a keynote, followed by a panel chat with Prof. Dr. Peter Adamson (philosophy), Prof. Dr. Frauke Kreuter (statistics and data science), and Prof. Dr. Albrecht Schmidt (computer science).

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Academic Speed Dating

AI-HUB@LMU is excited to announce an Academic Speed Dating event organized by Prof. Dr. Alexander Wuttke for scholars from all disciplines with an interest in AI research. Participants will engage in 5-minute blitz conversations, providing a rapid-fire exchange of ideas. Our aim is to spark interdisciplinary dialogues and collaborations by introducing scholars from diverse academic backgrounds and career stages who share a common interest in AI, whether directly or peripherally. The event promises to be an enriching opportunity for faculty, postdocs, and graduate students alike to explore the multifaceted world of AI research. The event will take place on Zoom: Tuesday, July 2nd, 4pm.

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